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    "# Overriding Default Grouping with the `group` Aesthetic\n",
    "\n",
    "#### How Grouping Works in Lets-Plot-Kotlin\n",
    "\n",
    "Default Grouping Behavior:\n",
    "- Lets-Plot-Kotlin automatically groups data by discrete variables mapped to aesthetics like `color, shape, linetype`, etc.\n",
    "- This creates separate visual elements (`lines, paths, polygons`) for each unique combination of these variables\n",
    "\n",
    "Explicit Group Control:\n",
    "- Use `group = \"var\"` to group only by that specific variable, overriding default grouping\n",
    "- Use `group = listOf(var1, var2, ...)` to group by the interaction of multiple variables\n",
    "- Use `group = emptyList<String>` to disable all grouping completely\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5949c620-ad0a-40c6-94dd-fe607f460c2e",
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       "            if(!window.kotlinQueues[\"DataFrame\"]) {\n",
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       "                window.kotlinQueues[\"DataFrame\"] = resQueue;\n",
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       "    --inner-border-color: #aaa;\n",
       "    --bold-border-color: #000;\n",
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       "    --link-color-pale: #296eaa;\n",
       "    --link-hover: #1a466c;\n",
       "}\n",
       "\n",
       ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n",
       "    --background: #303030;\n",
       "    --background-odd: #3c3c3c;\n",
       "    --background-hover: #464646;\n",
       "    --header-text-color: #dddddd;\n",
       "    --text-color: #b3b3b3;\n",
       "    --text-color-dark: #dddddd;\n",
       "    --text-color-medium: #b2b2b2;\n",
       "    --text-color-pale: #737373;\n",
       "    --inner-border-color: #707070;\n",
       "    --bold-border-color: #777777;\n",
       "    --link-color: #008dc0;\n",
       "    --link-color-pale: #97e1fb;\n",
       "    --link-hover: #00688e;\n",
       "}\n",
       "\n",
       "p.dataframe_description {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe {\n",
       "    font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n",
       "    font-size: 12px;\n",
       "    background-color: var(--background);\n",
       "    color: var(--text-color-dark);\n",
       "    border: none;\n",
       "    border-collapse: collapse;\n",
       "}\n",
       "\n",
       "table.dataframe th, td {\n",
       "    padding: 6px;\n",
       "    border: 1px solid transparent;\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       "table.dataframe th {\n",
       "    background-color: var(--background);\n",
       "    color: var(--header-text-color);\n",
       "}\n",
       "\n",
       "table.dataframe td {\n",
       "    vertical-align: top;\n",
       "    white-space: nowrap;\n",
       "}\n",
       "\n",
       "table.dataframe th.bottomBorder {\n",
       "    border-bottom-color: var(--bold-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:nth-child(odd) {\n",
       "    background: var(--background-odd);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:nth-child(even) {\n",
       "    background: var(--background);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:hover {\n",
       "    background: var(--background-hover);\n",
       "}\n",
       "\n",
       "table.dataframe a {\n",
       "    cursor: pointer;\n",
       "    color: var(--link-color);\n",
       "    text-decoration: none;\n",
       "}\n",
       "\n",
       "table.dataframe tr:hover > td a {\n",
       "    color: var(--link-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe a:hover {\n",
       "    color: var(--link-hover);\n",
       "    text-decoration: underline;\n",
       "}\n",
       "\n",
       "table.dataframe img {\n",
       "    max-width: fit-content;\n",
       "}\n",
       "\n",
       "table.dataframe th.complex {\n",
       "    background-color: var(--background);\n",
       "    border: 1px solid var(--background);\n",
       "}\n",
       "\n",
       "table.dataframe .leftBorder {\n",
       "    border-left-color: var(--inner-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe .rightBorder {\n",
       "    border-right-color: var(--inner-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe .rightAlign {\n",
       "    text-align: right;\n",
       "}\n",
       "\n",
       "table.dataframe .expanderSvg {\n",
       "    width: 8px;\n",
       "    height: 8px;\n",
       "    margin-right: 3px;\n",
       "}\n",
       "\n",
       "table.dataframe .expander {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "}\n",
       "\n",
       "/* formatting */\n",
       "\n",
       "table.dataframe .null {\n",
       "    color: var(--text-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe .structural {\n",
       "    color: var(--text-color-medium);\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .dataFrameCaption {\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .numbers {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe td:hover .formatted .structural, .null {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe tr:hover .formatted .structural, .null {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
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       "   <div id=\"1IwmBl\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"library\">\n",
       "       if(!window.letsPlotCallQueue) {\n",
       "           window.letsPlotCallQueue = [];\n",
       "       }; \n",
       "       window.letsPlotCall = function(f) {\n",
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       "               div.textContent = 'Error loading Lets-Plot JS';\n",
       "               document.getElementById(\"1IwmBl\").appendChild(div);\n",
       "           };\n",
       "           var e = document.getElementById(\"1IwmBl\");\n",
       "           e.appendChild(script);\n",
       "       })();\n",
       "   </script>"
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      "text/html": [
       "            <div id=\"kotlin_out_1\"></div>\n",
       "            <script type=\"text/javascript\">\n",
       "                            if(!window.kotlinQueues) {\n",
       "                window.kotlinQueues = {};\n",
       "            }\n",
       "            if(!window.kotlinQueues[\"letsPlotJs\"]) {\n",
       "                var resQueue = [];\n",
       "                window.kotlinQueues[\"letsPlotJs\"] = resQueue;\n",
       "                window[\"call_letsPlotJs\"] = function(f) {\n",
       "                    resQueue.push(f);\n",
       "                }\n",
       "            }\n",
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       "    script.src = \"https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v4.8.1rc1/js-package/distr/lets-plot.min.js\"\n",
       "    script.type = \"text/javascript\";\n",
       "})];\n",
       "                var e = document.getElementById(\"kotlin_out_1\");\n",
       "                modifiers.forEach(function (gen) {\n",
       "                    var script = document.createElement(\"script\");\n",
       "                    gen(script)\n",
       "                    script.addEventListener(\"load\", function() {\n",
       "                        window[\"call_letsPlotJs\"] = function(f) {f();};\n",
       "                        window.kotlinQueues[\"letsPlotJs\"].forEach(function(f) {f();});\n",
       "                        window.kotlinQueues[\"letsPlotJs\"] = [];\n",
       "                    }, false);\n",
       "                    script.addEventListener(\"error\", function() {\n",
       "                        window[\"call_letsPlotJs\"] = function(f) {};\n",
       "                        window.kotlinQueues[\"letsPlotJs\"] = [];\n",
       "                        var div = document.createElement(\"div\");\n",
       "                        div.style.color = 'darkred';\n",
       "                        div.textContent = 'Error loading resource letsPlotJs';\n",
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       "                    }, false);\n",
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       "            })();\n",
       "            </script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%useLatestDescriptors\n",
    "%use dataframe\n",
    "%use lets-plot(output=\"js, png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fabe8230-fc90-427c-afd9-6dd9f22c7a96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lets-Plot Kotlin API v.4.11.3-SNAPSHOT. Frontend: Notebook with dynamically loaded JS. Lets-Plot JS v.4.8.1rc1.\n",
       "Outputs: Web (HTML+JS), Static PNG (hidden)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LetsPlot.getInfo()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "436e50eb-0f1a-46d1-90b5-804d1793cb04",
   "metadata": {},
   "outputs": [
    {
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      "text/html": [
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       "        <head>\n",
       "            <style type=\"text/css\">\n",
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       "    --background-hover: #d9edfd;\n",
       "    --header-text-color: #474747;\n",
       "    --text-color: #848484;\n",
       "    --text-color-dark: #000;\n",
       "    --text-color-medium: #737373;\n",
       "    --text-color-pale: #b3b3b3;\n",
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       "\n",
       ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n",
       "    --background: #303030;\n",
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       "    color: var(--text-color-dark);\n",
       "    border: none;\n",
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       "\n",
       "table.dataframe th, td {\n",
       "    padding: 6px;\n",
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       "    background-color: var(--background);\n",
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       "    border-bottom-color: var(--bold-border-color);\n",
       "}\n",
       "\n",
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       "    background: var(--background-odd);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:nth-child(even) {\n",
       "    background: var(--background);\n",
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       "\n",
       "table.dataframe tbody > tr:hover {\n",
       "    background: var(--background-hover);\n",
       "}\n",
       "\n",
       "table.dataframe a {\n",
       "    cursor: pointer;\n",
       "    color: var(--link-color);\n",
       "    text-decoration: none;\n",
       "}\n",
       "\n",
       "table.dataframe tr:hover > td a {\n",
       "    color: var(--link-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe a:hover {\n",
       "    color: var(--link-hover);\n",
       "    text-decoration: underline;\n",
       "}\n",
       "\n",
       "table.dataframe img {\n",
       "    max-width: fit-content;\n",
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       "    border-left-color: var(--inner-border-color);\n",
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       "}\n",
       "\n",
       "table.dataframe .rightAlign {\n",
       "    text-align: right;\n",
       "}\n",
       "\n",
       "table.dataframe .expanderSvg {\n",
       "    width: 8px;\n",
       "    height: 8px;\n",
       "    margin-right: 3px;\n",
       "}\n",
       "\n",
       "table.dataframe .expander {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "}\n",
       "\n",
       "/* formatting */\n",
       "\n",
       "table.dataframe .null {\n",
       "    color: var(--text-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe .structural {\n",
       "    color: var(--text-color-medium);\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .dataFrameCaption {\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .numbers {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
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       "    color: var(--text-color-dark);\n",
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       "    color: var(--text-color-dark);\n",
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       "\n",
       "\n",
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       "    --background-hover: #d9edfd;\n",
       "    --header-text-color: #474747;\n",
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       "    --text-color-dark: #000;\n",
       "    --text-color-medium: #737373;\n",
       "    --text-color-pale: #b3b3b3;\n",
       "    --inner-border-color: #aaa;\n",
       "    --bold-border-color: #000;\n",
       "    --link-color: #296eaa;\n",
       "    --link-color-pale: #296eaa;\n",
       "    --link-hover: #1a466c;\n",
       "}\n",
       "\n",
       ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n",
       "    --background: #303030;\n",
       "    --background-odd: #3c3c3c;\n",
       "    --background-hover: #464646;\n",
       "    --header-text-color: #dddddd;\n",
       "    --text-color: #b3b3b3;\n",
       "    --text-color-dark: #dddddd;\n",
       "    --text-color-medium: #b2b2b2;\n",
       "    --text-color-pale: #737373;\n",
       "    --inner-border-color: #707070;\n",
       "    --bold-border-color: #777777;\n",
       "    --link-color: #008dc0;\n",
       "    --link-color-pale: #97e1fb;\n",
       "    --link-hover: #00688e;\n",
       "}\n",
       "\n",
       "p.dataframe_description {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe {\n",
       "    font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n",
       "    font-size: 12px;\n",
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       "    color: var(--text-color-dark);\n",
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       "    border-collapse: collapse;\n",
       "}\n",
       "\n",
       "table.dataframe th, td {\n",
       "    padding: 6px;\n",
       "    border: 1px solid transparent;\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       "table.dataframe th {\n",
       "    background-color: var(--background);\n",
       "    color: var(--header-text-color);\n",
       "}\n",
       "\n",
       "table.dataframe td {\n",
       "    vertical-align: top;\n",
       "    white-space: nowrap;\n",
       "}\n",
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       "<table class=\"dataframe\" id=\"static_df_-301989887\"><thead><tr><th class=\"bottomBorder\" style=\"text-align:left\">untitled</th><th class=\"bottomBorder\" style=\"text-align:left\">manufacturer</th><th class=\"bottomBorder\" style=\"text-align:left\">model</th><th class=\"bottomBorder\" style=\"text-align:left\">displ</th><th class=\"bottomBorder\" style=\"text-align:left\">year</th><th class=\"bottomBorder\" style=\"text-align:left\">cyl</th><th class=\"bottomBorder\" style=\"text-align:left\">trans</th><th class=\"bottomBorder\" style=\"text-align:left\">drv</th><th class=\"bottomBorder\" style=\"text-align:left\">cty</th><th class=\"bottomBorder\" style=\"text-align:left\">hwy</th><th class=\"bottomBorder\" style=\"text-align:left\">fl</th><th class=\"bottomBorder\" style=\"text-align:left\">class</th></tr></thead><tbody><tr><td  style=\"vertical-align:top\">1</td><td  style=\"vertical-align:top\">audi</td><td  style=\"vertical-align:top\">a4</td><td  style=\"vertical-align:top\">1.800000</td><td  style=\"vertical-align:top\">1999</td><td  style=\"vertical-align:top\">4</td><td  style=\"vertical-align:top\">auto(l5)</td><td  style=\"vertical-align:top\">f</td><td  style=\"vertical-align:top\">18</td><td  style=\"vertical-align:top\">29</td><td  style=\"vertical-align:top\">p</td><td  style=\"vertical-align:top\">compact</td></tr><tr><td  style=\"vertical-align:top\">2</td><td  style=\"vertical-align:top\">audi</td><td  style=\"vertical-align:top\">a4</td><td  style=\"vertical-align:top\">1.800000</td><td  style=\"vertical-align:top\">1999</td><td  style=\"vertical-align:top\">4</td><td  style=\"vertical-align:top\">manual(m5)</td><td  style=\"vertical-align:top\">f</td><td  style=\"vertical-align:top\">21</td><td  style=\"vertical-align:top\">29</td><td  style=\"vertical-align:top\">p</td><td  style=\"vertical-align:top\">compact</td></tr><tr><td  style=\"vertical-align:top\">3</td><td  style=\"vertical-align:top\">audi</td><td  style=\"vertical-align:top\">a4</td><td  style=\"vertical-align:top\">2.000000</td><td  style=\"vertical-align:top\">2008</td><td  style=\"vertical-align:top\">4</td><td  style=\"vertical-align:top\">manual(m6)</td><td  style=\"vertical-align:top\">f</td><td  style=\"vertical-align:top\">20</td><td  style=\"vertical-align:top\">31</td><td  style=\"vertical-align:top\">p</td><td  style=\"vertical-align:top\">compact</td></tr><tr><td  style=\"vertical-align:top\">4</td><td  style=\"vertical-align:top\">audi</td><td  style=\"vertical-align:top\">a4</td><td  style=\"vertical-align:top\">2.000000</td><td  style=\"vertical-align:top\">2008</td><td  style=\"vertical-align:top\">4</td><td  style=\"vertical-align:top\">auto(av)</td><td  style=\"vertical-align:top\">f</td><td  style=\"vertical-align:top\">21</td><td  style=\"vertical-align:top\">30</td><td  style=\"vertical-align:top\">p</td><td  style=\"vertical-align:top\">compact</td></tr><tr><td  style=\"vertical-align:top\">5</td><td  style=\"vertical-align:top\">audi</td><td  style=\"vertical-align:top\">a4</td><td  style=\"vertical-align:top\">2.800000</td><td  style=\"vertical-align:top\">1999</td><td  style=\"vertical-align:top\">6</td><td  style=\"vertical-align:top\">auto(l5)</td><td  style=\"vertical-align:top\">f</td><td  style=\"vertical-align:top\">16</td><td  style=\"vertical-align:top\">26</td><td  style=\"vertical-align:top\">p</td><td  style=\"vertical-align:top\">compact</td></tr></tbody></table>\n",
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       "{ name: \"<span title=\\\"cty: Int\\\">cty</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">18</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">21</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">20</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">21</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">16</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"hwy: Int\\\">hwy</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">29</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">29</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">31</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">30</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">26</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"fl: Char\\\">fl</span>\", children: [], rightAlign: false, values: [\"p\",\"p\",\"p\",\"p\",\"p\"] }, \n",
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       "call_DataFrame(function() { DataFrame.renderTable(-301989888) });\n",
       "\n",
       "document.getElementById(\"static_df_-301989887\").style.display = \"none\";\n",
       "        </script>\n",
       "        </html>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val df = DataFrame.readCSV(\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/refs/heads/master/data/mpg.csv\")\n",
    "val mtcars = df.toMap()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04b31eae-df20-407c-a869-84af10998edb",
   "metadata": {},
   "source": [
    "#### 1. Highway MPG by Drive Type\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4ed67db6-5cc7-4a7a-a872-3729919ed82c",
   "metadata": {},
   "outputs": [
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       "\"hwy\":[17.0,21.0,22.0,22.0,22.0,23.0,23.0,23.0,24.0,24.0,24.0,24.0,24.0,24.0,24.0,24.0,24.0,25.0,25.0,25.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,27.0,27.0,27.0,27.0,27.0,27.0,27.0,27.0,27.0,27.0,28.0,28.0,28.0,28.0,28.0,28.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,30.0,30.0,30.0,30.0,31.0,31.0,31.0,31.0,31.0,31.0,31.0,32.0,32.0,32.0,32.0,33.0,33.0,34.0,35.0,35.0,36.0,36.0,37.0,41.0,44.0,44.0,12.0,12.0,12.0,12.0,12.0,14.0,14.0,15.0,15.0,15.0,15.0,15.0,15.0,15.0,15.0,15.0,16.0,16.0,16.0,16.0,16.0,16.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,18.0,18.0,18.0,18.0,18.0,18.0,18.0,18.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,22.0,22.0,23.0,23.0,24.0,24.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,26.0,26.0,26.0,26.0,26.0,26.0,27.0,27.0,27.0,27.0,28.0,15.0,16.0,17.0,17.0,17.0,17.0,17.0,18.0,18.0,20.0,20.0,20.0,21.0,22.0,22.0,23.0,23.0,24.0,24.0,25.0,25.0,26.0,26.0,26.0,26.0],\n",
       "\"..quantile..\":[0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.5,0.5,0.5,0.5,0.5,0.75,0.75,0.75,0.75,0.75,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0]\n",
       "}\n",
       "}],\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"untitled\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"manufacturer\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"model\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"displ\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"year\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"cyl\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"trans\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"cty\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"hwy\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"class\"\n",
       "}]\n",
       "},\n",
       "\"spec_id\":\"1\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script><img id=\"ea029bd3-cb1b-4f73-82c5-ab0615ce581d\" src=\"\" alt=\"image\" width=\"600\" height=\"400\">\n",
       "<script>document.getElementById(\"ea029bd3-cb1b-4f73-82c5-ab0615ce581d\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val seed = 21\n",
    "letsPlot(mtcars) { x = \"drv\"; y = \"hwy\" } +\n",
    "    geomViolin(tooltips = tooltipsNone) +\n",
    "    geomSina(seed = seed)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "470f9100-a241-4657-8c03-3edfa04d6f6f",
   "metadata": {},
   "source": [
    "#### 2. Add More Information - `color`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "955d6793-c886-4dec-b54b-3abb3f495a06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"9W1oY5\" ></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "   \n",
       "   (function() {\n",
       "   // ----------\n",
       "   \n",
       "   const forceImmediateRender = false;\n",
       "   const responsive = false;\n",
       "   \n",
       "   let sizing = {\n",
       "       width_mode: \"MIN\",\n",
       "       height_mode: \"SCALED\",\n",
       "       width: null, \n",
       "       height: null \n",
       "   };\n",
       "   \n",
       "   const preferredWidth = document.body.dataset.letsPlotPreferredWidth;\n",
       "   if (preferredWidth !== undefined) {\n",
       "       sizing = {\n",
       "           width_mode: 'FIXED',\n",
       "           height_mode: 'SCALED',\n",
       "           width: parseFloat(preferredWidth)\n",
       "       };\n",
       "   }\n",
       "   \n",
       "   const containerDiv = document.getElementById(\"9W1oY5\");\n",
       "   let fig = null;\n",
       "   \n",
       "   function renderPlot() {\n",
       "       if (fig === null) {\n",
       "           const plotSpec = {\n",
       "\"mapping\":{\n",
       "\"x\":\"drv\",\n",
       "\"y\":\"hwy\"\n",
       "},\n",
       "\"data\":{\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "},\n",
       "\"stat\":\"ydensity\",\n",
       "\"position\":\"dodge\",\n",
       "\"geom\":\"violin\",\n",
       "\"tooltips\":\"none\",\n",
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       "   \n",
       "   </script><img id=\"5f2d4c35-773c-4210-8103-cd9f8df5cb96\" src=\"\" alt=\"image\" width=\"600\" height=\"400\">\n",
       "<script>document.getElementById(\"5f2d4c35-773c-4210-8103-cd9f8df5cb96\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mtcars) { x = \"drv\"; y = \"hwy\" } +\n",
    "    geomViolin(tooltips = tooltipsNone) +\n",
    "    geomSina(seed = seed) {\n",
    "        color = \"cyl\"\n",
    "    }"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5192b398-40f9-41f6-957d-bdd40a321a9f",
   "metadata": {},
   "source": [
    "#### 3. Discrete `color`: Default Grouping Creates Unwanted Separation\n",
    "\n",
    "Let's add discrete colors by marking the `cyl` variable as discrete. \n",
    "\n",
    "When we map `color=asDiscrete(\"cyl\")`, Lets-Plot automatically groups the data by the discrete color variable. \\\n",
    "This means:\n",
    "\n",
    "* Automatic grouping: Each combination of `drv` (x-axis) and `cyl` (color) becomes a separate group\n",
    "* Position adjustment: The `geomSina()` uses \"dodge\" positioning by default, which separates overlapping groups horizontally\n",
    "* Result: Instead of one sina plot per drive type, we get 4 separate sina plots (one for each cylinder count) within each drive type category\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "698448ec-b2cf-49dd-8385-8a204be04d22",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "},{\n",
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       "},{\n",
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       "\"column\":\"trans\"\n",
       "},{\n",
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       "},{\n",
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       "\"column\":\"class\"\n",
       "}]\n",
       "},\n",
       "\"spec_id\":\"5\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script><img id=\"878fcd10-4881-4466-83c3-83d6f3f814d7\" src=\"\" alt=\"image\" width=\"600\" height=\"400\">\n",
       "<script>document.getElementById(\"878fcd10-4881-4466-83c3-83d6f3f814d7\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mtcars) { x = \"drv\"; y = \"hwy\" } +\n",
    "    geomViolin(tooltips = tooltipsNone) +\n",
    "    geomSina(seed = seed) {\n",
    "        color = asDiscrete(\"cyl\")\n",
    "    }"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ec21599-4f7b-4032-920e-5aaa71ae33c4",
   "metadata": {},
   "source": [
    "#### 4. Fix with Explicit Grouping by Drive Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d7ddc01a-1a4e-4e8a-abd7-db2ea36449fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\"hwy\":[17.0,21.0,22.0,22.0,22.0,23.0,23.0,23.0,24.0,24.0,24.0,24.0,24.0,24.0,24.0,24.0,24.0,25.0,25.0,25.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,26.0,27.0,27.0,27.0,27.0,27.0,27.0,27.0,27.0,27.0,27.0,28.0,28.0,28.0,28.0,28.0,28.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,29.0,30.0,30.0,30.0,30.0,31.0,31.0,31.0,31.0,31.0,31.0,31.0,32.0,32.0,32.0,32.0,33.0,33.0,34.0,35.0,35.0,36.0,36.0,37.0,41.0,44.0,44.0,12.0,12.0,12.0,12.0,12.0,14.0,14.0,15.0,15.0,15.0,15.0,15.0,15.0,15.0,15.0,15.0,16.0,16.0,16.0,16.0,16.0,16.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,17.0,18.0,18.0,18.0,18.0,18.0,18.0,18.0,18.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,19.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,20.0,22.0,22.0,23.0,23.0,24.0,24.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,25.0,26.0,26.0,26.0,26.0,26.0,26.0,27.0,27.0,27.0,27.0,28.0,15.0,16.0,17.0,17.0,17.0,17.0,17.0,18.0,18.0,20.0,20.0,20.0,21.0,22.0,22.0,23.0,23.0,24.0,24.0,25.0,25.0,26.0,26.0,26.0,26.0],\n",
       "\"..quantile..\":[0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.5,0.5,0.5,0.5,0.5,0.75,0.75,0.75,0.75,0.75,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0]\n",
       "}\n",
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       "\"data_meta\":{\n",
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       "\"column\":\"untitled\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"manufacturer\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"model\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"displ\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"year\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"cyl\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"trans\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"cty\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"hwy\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"class\"\n",
       "}]\n",
       "},\n",
       "\"spec_id\":\"7\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script><img id=\"fa4d152d-edc0-4543-9aa2-c7dd7741fdab\" src=\"\" alt=\"image\" width=\"600\" height=\"400\">\n",
       "<script>document.getElementById(\"fa4d152d-edc0-4543-9aa2-c7dd7741fdab\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mtcars) { x = \"drv\"; y = \"hwy\" } +\n",
    "    geomViolin(tooltips = tooltipsNone) +\n",
    "    geomSina(seed = seed) {\n",
    "        color = asDiscrete(\"cyl\")\n",
    "        \n",
    "        group = \"drv\"      // <-- group only by drive type (ignoring the color variable for grouping)\n",
    "    }\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae362a61-097b-46f8-b407-b32709c5765d",
   "metadata": {},
   "source": [
    "#### 5. Cleaner Fix: Disable All Grouping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e3d71379-1732-489d-baf7-08c87f4c6d01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "   // ----------\n",
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       "   const forceImmediateRender = false;\n",
       "   const responsive = false;\n",
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       "\"..quantile..\":[0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,0.75,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.5,0.5,0.5,0.5,0.5,0.75,0.75,0.75,0.75,0.75,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0]\n",
       "}\n",
       "}],\n",
       "\"data_meta\":{\n",
       "\"series_annotations\":[{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"untitled\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"manufacturer\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"model\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"displ\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"year\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"cyl\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"trans\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"cty\"\n",
       "},{\n",
       "\"type\":\"int\",\n",
       "\"column\":\"hwy\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"class\"\n",
       "}]\n",
       "},\n",
       "\"spec_id\":\"9\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script><img id=\"eb48bde3-4743-49ef-91a6-a83d8e36a763\" src=\"\" alt=\"image\" width=\"600\" height=\"400\">\n",
       "<script>document.getElementById(\"eb48bde3-4743-49ef-91a6-a83d8e36a763\").style.display = \"none\";</script>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "letsPlot(mtcars) { x = \"drv\"; y = \"hwy\" } +\n",
    "    geomViolin(tooltips = tooltipsNone) +\n",
    "    geomSina(seed = seed) {\n",
    "        color = asDiscrete(\"cyl\")\n",
    "        \n",
    "        group = emptyList<String>()     // <-- disable all grouping entirely\n",
    "    }"
   ]
  }
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